11755885

Joint Learning of Local and Global Features for Entity Linking via Neural Networks

PublishedSeptember 12, 2023
Assigneenot available in USPTO data we have
Technical Abstract

Patent Claims
2 claims

Legal claims defining the scope of protection, as filed with the USPTO.

2

2. The computer-implemented method as claimed in claim 1, wherein said plurality of word sequences of said entity mention comprises: a data triplet comprising a surface string, a context and the entire document having the entity mention and, said page having an associated title and content potentially referring to said entity mention.

8

8. The computer program product as claimed in claim 7, wherein said plurality of word sequences of said entity mention comprises: a data triplet comprising a surface string, a context and the entire document having the entity mention and, said page having an associated title and content potentially referring to said entity mention.

Patent Metadata

Filing Date

Unknown

Publication Date

September 12, 2023

Inventors

Nicolas R. Fauceglia
Alfio M. Gliozzo
Oktie Hassanzadeh
Thien H. Nguyen
Mariano Rodriguez Muro
Mohammad Sadoghi Hamedani

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Cite as: Patentable. “JOINT LEARNING OF LOCAL AND GLOBAL FEATURES FOR ENTITY LINKING VIA NEURAL NETWORKS” (11755885). https://patentable.app/patents/11755885

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